扩散模型论文趋势 2023–2026
扩散、flow matching 与 score-based 生成
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,900 篇被归入该主题的论文。
主要结论
- 扩散模型论文从 2023 年的 660 篇增长到 2026 年的 2,691 篇，三年间扩大到约 4.1 倍。
- NeurIPS 是发扩散模型论文最多的会议，2023–2026 年共 2,202 篇，占四个会议总量的 32%。
- 交叉方向里涨得最快的是应用 · chemistry physics and earth sciences：同时属于两个主题的论文从 2023 年的 14 篇增至 2026 年的 163 篇。
- 在「深度学习」的 11 个主题里，它的 2026 年论文数排第 1；同组增长最快的深度学习 · foundation models是 2.5 倍，扩散模型是 4.1 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 327 | 86 | 109 | 138 | 660 |
| 2024 | 520 | 260 | 195 | 496 | 1,471 |
| 2025 | 694 | 487 | 346 | 551 | 2,078 |
| 2026 | 661 | 694 | 728 | 608 | 2,691 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026$\mathbf{D^{3}S^{2}}$: Diffusion-Guided Dataset Distillation for Semantic Segmentation
- ICML 2026“Do Diffusion Models Dream of Electric Planes?” Discrete and Continuous Simulation-Based Inference for Aircraft Design
- ICLR 2026$\alpha$-DPO: Robust Preference Alignment for Diffusion Models via $\alpha$ Divergence
- CVPR 20262ndMatch Finetuning Pruned Diffusion Models via Second-Order Jacobian Matching
- NeurIPS 2025$\text{S}^2$Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
- ICML 2025A First-order Generative Bilevel Optimization Framework for Diffusion Models
- ICLR 2025$\text{I}^2\text{AM}$: Interpreting Image-to-Image Latent Diffusion Models via Bi-Attribution Maps
- CVPR 20253DEnhancer: Consistent Multi-View Diffusion for 3D Enhancement
- NeurIPS 2024$\text{Di}^2\text{Pose}$: Discrete Diffusion Model for Occluded 3D Human Pose Estimation
- ICML 2024A Dense Reward View on Aligning Text-to-Image Diffusion with Preference
- ICLR 2024$\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
- CVPR 2024D^4: Dataset Distillation via Disentangled Diffusion Model
- NeurIPS 20233D molecule generation by denoising voxel grids
- ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
- ICLR 2023(Certified!!) Adversarial Robustness for Free!
- CVPR 20233D Neural Field Generation Using Triplane Diffusion
- NeurIPS 2026$\text{PartConcepts}$: A Unified Mechanism for Fine-Grained Part Localization and Generation
- ICML 2026$\sigma$: Sigmoid Modulation for Ultra High Resolution Diffusion
- ICLR 2026$\textit{MADFormer}$: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation
- CVPR 20263D-LATTE Latent Space 3D Editing from Textual Instructions
全部扩散模型论文
共 487 篇，第 5 / 10 页
- ICLR 2025Generative Classifiers Avoid Shortcut Solutions
- ICLR 2025Generative Inbetweening: Adapting Image-to-Video Models for Keyframe Interpolation
- ICLR 2025Generator Matching: Generative modeling with arbitrary Markov processes
- ICLR 2025GenXD: Generating Any 3D and 4D Scenes
- ICLR 2025Glad: A Streaming Scene Generator for Autonomous Driving
- ICLR 2025Glauber Generative Model: Discrete Diffusion Models via Binary Classification
- ICLR 2025Global Well-posedness and Convergence Analysis of Score-based Generative Models via Sharp Lipschitz Estimates
- ICLR 2025GoodDrag: Towards Good Practices for Drag Editing with Diffusion Models
- ICLR 2025Gradient-Free Generation for Hard-Constrained Systems
- ICLR 2025GravMAD: Grounded Spatial Value Maps Guided Action Diffusion for Generalized 3D Manipulation
- ICLR 2025Growth Inhibitors for Suppressing Inappropriate Image Concepts in Diffusion Models
- ICLR 2025Guided Score identity Distillation for Data-Free One-Step Text-to-Image Generation
- ICLR 2025HART: Efficient Visual Generation with Hybrid Autoregressive Transformer
- ICLR 2025HD-Painter: High-Resolution and Prompt-Faithful Text-Guided Image Inpainting with Diffusion Models
- ICLR 2025Heavy-Tailed Diffusion Models
- ICLR 2025Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
- ICLR 2025HERO: Human-Feedback Efficient Reinforcement Learning for Online Diffusion Model Finetuning
- ICLR 2025Hidden in the Noise: Two-Stage Robust Watermarking for Images
- ICLR 2025High-Precision Dichotomous Image Segmentation via Probing Diffusion Capacity
- ICLR 2025High-quality Text-to-3D Character Generation with SparseCubes and Sparse Transformers.
- ICLR 2025How Discrete and Continuous Diffusion Meet: Comprehensive Analysis of Discrete Diffusion Models via a Stochastic Integral Framework
- ICLR 2025How Much is a Noisy Image Worth? Data Scaling Laws for Ambient Diffusion.
- ICLR 2025Hummingbird: High Fidelity Image Generation via Multimodal Context Alignment
- ICLR 2025Hybrid Regularization Improves Diffusion-based Inverse Problem Solving
- ICLR 2025IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
- ICLR 2025Image Watermarks are Removable using Controllable Regeneration from Clean Noise
- ICLR 2025Image-level Memorization Detection via Inversion-based Inference Perturbation
- ICLR 2025ImageFolder: Autoregressive Image Generation with Folded Tokens
- ICLR 2025Implicit Search via Discrete Diffusion: A Study on Chess
- ICLR 2025Improved Convergence Rate for Diffusion Probabilistic Models
- ICLR 2025Improved Diffusion-based Generative Model with Better Adversarial Robustness
- ICLR 2025Improved Sampling Algorithms for Lévy-Itô Diffusion Models
- ICLR 2025Improved Sampling Of Diffusion Models In Fluid Dynamics With Tweedie's Formula
- ICLR 2025Improved Training Technique for Latent Consistency Models
- ICLR 2025Improving Equivariant Networks with Probabilistic Symmetry Breaking
- ICLR 2025Improving Long-Text Alignment for Text-to-Image Diffusion Models
- ICLR 2025Improving Probabilistic Diffusion Models With Optimal Diagonal Covariance Matching
- ICLR 2025InCoDe: Interpretable Compressed Descriptions For Image Generation
- ICLR 2025Incorporating Visual Correspondence into Diffusion Model for Virtual Try-On
- ICLR 2025Infinite-Resolution Integral Noise Warping for Diffusion Models
- ICLR 2025Influence Functions for Scalable Data Attribution in Diffusion Models
- ICLR 2025Influence-Guided Diffusion for Dataset Distillation
- ICLR 2025Information Theoretic Text-to-Image Alignment
- ICLR 2025Instant Policy: In-Context Imitation Learning via Graph Diffusion
- ICLR 2025InstantPortrait: One-Step Portrait Editing via Diffusion Multi-Objective Distillation
- ICLR 2025InstaRevive: One-Step Image Enhancement via Dynamic Score Matching
- ICLR 2025Integrating Protein Dynamics into Structure-Based Drug Design via Full-Atom Stochastic Flows
- ICLR 2025InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
- ICLR 2025InverseBench: Benchmarking Plug-and-Play Diffusion Priors for Inverse Problems in Physical Sciences
- ICLR 2025IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查扩散模型在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "diffusion-models"}
常见问题
- 2023–2026 年四大会议一共有多少篇扩散模型论文？
- 共 6,900 篇，按年份分别是 2023 年 660 篇、2024 年 1,471 篇、2025 年 2,078 篇、2026 年 2,691 篇。
- NeurIPS 2026 有多少篇扩散模型论文？
- NeurIPS 2026 有 661 篇扩散模型论文，上一届是 694 篇。
- ICLR 2026 有多少篇扩散模型论文？
- ICLR 2026 有 694 篇扩散模型论文，上一届是 487 篇。
- ICML 2026 有多少篇扩散模型论文？
- ICML 2026 有 728 篇扩散模型论文，上一届是 346 篇。
- CVPR 2026 有多少篇扩散模型论文？
- CVPR 2026 有 608 篇扩散模型论文，上一届是 551 篇。
- 哪个会议的扩散模型论文最多？
- NeurIPS，2023–2026 年共 2,202 篇。
「深度学习」下的其他主题
- 深度学习 · generative models and autoencoders 4,314
- 深度学习 · large language models 2,334
- 深度学习 · self supervised learning 1,958
- 深度学习 · graph neural networks 1,648
- 深度学习 · optimization 953
- 深度学习 · representation learning 802
- 深度学习 · probabilistic methods 637
- 深度学习 · foundation models 536
- 深度学习 · causal inference 316
- 深度学习 · transfer learning 197